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497 articles for “Mill”
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Alkylimidazolium Chloride Ionic Liquids as Green Additives in Rubber Composites: A Comprehensive Review
Abstract: The growing emphasis on sustainable and environmentally friendly materials has underscored the use of ionic liquids (ILs) as green additives in polymer science. Alkylimidazolium chloride ionic liquids (ACLs) have emerged as viable possibilities for improving the performance of rubber composites while minimizing the environmental impact of conventional processing aids. This research conducts a thorough examination of the function of ACls in rubber technology, focusing on their physicochemical features, interaction mechanisms …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–13 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Review of Research on Pozzolanic Materials for Cement Blending and Concrete Applications
Abstract: The growing environmental concerns associated with cement production, particularly its high carbon footprint, have driven research into sustainable alternatives such as supplementary cementitious materials (SCMs) derived from agricultural and industrial waste. This study synthesizes findings from recent investigations into the pozzolanic potential of basil plant ash (BPA), rice husk ash (RHA), and stockpiled fly ash (FA), evaluating their processing methods, microstructural characteristics, and performance in concrete applications. BPA, being derived …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 Read article
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Analysis and Identification of Malicious Mobile Applications Using Machines Learning
Abstract: Over the past few years, malware attacks on the Android platform have surged, posing significant risks to users' financial security, personal information, and device integrity. In the first half of 2019 alone, approximately 25 million smartphones were infected, highlighting the severity of these threats. The model ranks manifest features based on their frequency in normal and malicious apps, identifying key components that distinguish benign from malicious applications. To improve detection …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 17–24 Read article
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Analysing the Deep Hole Drilling Characteristics of AISI 316 Alloy Using Peck Drilling Approach
Abstract: This study aims at the deep hole drilling characteristics of AISI 316 alloy utilizing the Peck drilling procedure. It is well-established that hole is the most prevalent machining process, requiring precise techniques to achieve optimal cutting conditions. AISI 316 has high corrosion resistance and mechanical features. It is widely utilized in the aerospace, vehicle, aircraft, and other industries. Due to its high modulus of elasticity, reactivity at high cutting speeds, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 14–28 Read article
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Utilization of 3D Printing Techniques in the Prosthetics Manufacturing: Historical, Current, and Future
Abstract: Prosthetics for people with upper-limb differences have an intriguing and extensive history, yet problems that have not been resolved still exist. Children's prosthesis requirements are more complicated because of their rapid growing. A child's psychological development can be significantly impacted by their access to a technology. Children frequently cannot access technologies that support both cosmetic form and user function because of their high cost, insurance policies, medical availability, perceived durability, …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 15–26 Read article
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Bedaquiline: An In-Depth Exploration into Its Antitubercular Significance
Abstract: Tuberculosis is still a leading infectious disease and a major threat to public health. Although there has been a slow decrease in the incidence over years, its “hard to kill nature” is responsible of about 2 million deaths in HIV infected individuals annually. Bedaquiline, a Diaryl-Quinoline drug was fast-track approved as an orphan drug to combat drug resistance. It shows potent activity against Mycobacterium tuberculosis by interfering with the production …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 2, 2025 · pp. 06–14 Read article
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Richness of Marine Biodiversity: Ecological, Economic, and Conservation Perspectives
Abstract: Marine life is diverse, from minuscule plankton to the greatest species on Earth. Marine biodiversity is extensive, and this article examines the ecological roles of species in coral reefs, deep-sea trenches, and coastal environments. Ocean life is essential for keeping the planet's environment in balance. It helps control the Earth's climate and provides income, food, and resources for millions of people around the world. Marine ecosystems are home to an …
Published in International Journal of Marine Life · Vol. 2, Issue 2, 2025 Read article
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Development and Evaluation of Mechanical Properties of Bio-Degradable Grass Fiber Composite Reinforced with Shrimp Shell Powder for Sustainable Applications
Abstract: Shrimp, a significant area of the seafood industry in terms of production, is exceeded by only prawn and salmon in terms of volume; its global annual production exceeds 4.4 million tons. India is a sea of shrimp production: the country recorded a record high production of 9 lakh tonnes (900,000 metric tonnes) of cultured shrimp in 2021. Andhra Pradesh was the major contributor to cultured shrimp culture, amounting to around …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 720–731 Read article
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Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
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Understanding the Cervical Spine Disorder: A Cross-sectional Survey Study
Abstract: Cervical spine disorders encompass a spectrum of conditions including degenerative spondylosis, disc herniation, traumatic injuries, and myelopathy that impair quality of life through chronic pain, neurological deficits, and functional limitations. Globally, neck pain affects over 200 million individuals, with an age-standardized prevalence of 2666 per 100000 population and an incidence of 816 per 100000 person-years, contributing to significant years lived with disability (YLDs). Economic analyses estimate annual direct healthcare costs …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 80–97 Read article
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Samelisant, an H3 Receptor Agonist as an Anti-Alzheimer Potential – A Pilot Study on Molecular Docking
Abstract: Neurodegenerative diseases have become more prevalent and about 55 million of the population are affected by dementia globally. One of the most important neurodegenerative diseases is Alzheimer’s disease which is known for its effect on memory and cognitive impairment. Alzheimer’s disease (AD) is an area of intense scientific investigation due to its high prevalence and the lack of a definitive cure. Amyloid precursor protein plays a central role in Alzheimer’s …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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Pathways in Drug Discovery and Development: From Molecular Targets to Market Approval
Abstract: A complicated, multidisciplinary, and resource-intensive process, the discovery and development of new pharmacological drugs is essential to the advancement of contemporary medicine. Finding and optimising lead chemicals comes after a disease-relevant biological target has been identified and validated. Through preclinical research in animal models, these leads are thoroughly assessed for toxicity, pharmacokinetics, safety, and efficacy. Clinical trials, which are carried out in several stages to evaluate safety, efficacy, ideal dosage, …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 1, 2026 · pp. 01–04 Read article
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AI in Healthcare: Drug Delivery in Tuberculosis
Abstract: Tuberculosis (TB) , mainly caused by Mycobacterium tuberculosis, remains a major global health burden, accounting for millions of new infections and deaths each year. Although progress has been made in diagnosis and treatment, the growing threat of multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB makes disease control increasingly difficult. Conventional diagnostic approaches such as chest X-rays, sputum smear microscopy, and culture methods continue to play an important role, but they …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 9–17 Read article
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Semantics Analysis of Expected Goals in Soccer Data Using Machine Learning
Abstract: In recent years, the increasing availability of soccer data has greatly enhanced the accuracy and depth of player performance evaluation. Soccer, being one of the most popular sports worldwide, attracts millions of fans due to its simple rules, minimal equipment requirements, and high entertainment value. However, analyzing an entire match manually can be time-consuming, leading to a growing demand for automated methods that can summarize and interpret game data efficiently. …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 31–47 Read article
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Pharmacological Comparison of Turmeric and Non-Steroidal Anti-Inflammatory Drugs in Pain Relief
Abstract: Pain is one of the most frequently encountered clinical symptoms affecting millions globally and is typically treated pharmacologically with nonsteroidal anti-inflammatory drugs (NSAIDs). However, long-term use of NSAIDs is associated with adverse effects such as gastrointestinal, renal, and cardiovascular issues. In recent years, turmeric and its main active compound, curcumin, have received considerable attention for their reported anti-inflammatory, analgesic, and antioxidant properties as natural therapeutic options. This review seeks to …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 19–28 Read article
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AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit
Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article